MSFR-GCN: A Multi-Scale Feature Reconstruction Graph Convolutional Network for EEG Emotion and Cognition Recognition

MSFR-GCN: A Multi-Scale Feature Reconstruction Graph Convolutional Network for EEG Emotion and Cognition Recognition

Graph Convolutional Network (GCN) excels at EEG recognition by capturing brain connections, but previous studies neglect the important EEG feature itself. In this study, we propose MSFR-GCN, a multi-scale feature reconstruction GCN for recognizing emotion and cognition tasks. Specifically, MSFR-GCN...

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Bibliographic Details
Main Authors: Deng Pan, Haohao Zheng, Feifan Xu, Yu Ouyang, Zhe Jia, Chu Wang, Hong Zeng
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
EEG emotion recognition
EEG cognition recognition
graph convolutional network
SE attention
graph pool
Online Access:https://ieeexplore.ieee.org/document/10216317/

Internet

https://ieeexplore.ieee.org/document/10216317/

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